Job Description

Carrier is the leading global provider of healthy, safe and sustainable building and cold chain solutions with a world-class, diverse workforce with business segments covering HVAC, refrigeration, and fire and security. We make modern life possible by delivering safer, smarter and more sustainable services that make a difference to people and our planet while revolutionizing industry trends. This is why we come to work every day. Join us and we can make a difference together.

Carrier Transicold & Refrigeration Systems (Refrigeration) helps improve the transport and shipping of temperature-controlled cargoes with a complete line of equipment and services for refrigerated transport, industrial cooling, retail display and cold chain visibility. For 50 years, the Refrigeration business has been an industry leader, providing customers around the world with the most advanced, energy efficient and environmentally sustainable container refrigeration systems and generator sets, direct-drive and diesel truck units, trailer refrigeration systems, mechanical systems and refrigerated display cases.

About this role

The data engineer will work with global cross-disciplinary teams to develop the next generation of digital analytics solutions for Carrier Refrigeration businesses.

Key Responsibilities:

• Coordinate with cross-functional teams to develop technical requirements for addressing business problems
• Work within engineering teams to understand the data needs for developing analytics solutions to address business problems
• Developing highly-efficient data pipelines that facilitate the ability to build data products
• Build the infrastructure for the optimal extraction, transformation and loading of data from a wide variety of data sources (including external data sources and services)
• Collaborate with data scientists and architects to deliver high quality data products
• Explore mechanisms to enhance data quality and reliability
• Ensures that information is in compliance with the regulatory and security policies in place
• Ensure strong commitment to milestones, quality and deliverables
• Strong documentation of integration pipelines
• Work with business to obtain an understanding of complex business problems and propose technical solutions

Basic Qualifications:

• BS in Engineering /Computer Science
• 3+ years of software development experience

Preferred Qualifications:

Other qualifications you may have that would be beneficial in this role include:

• BS or MS in Engineering, Data Engineering, Computer Science or another quantitative field
• Advanced experience programming with SQL (ETL, performance tuning, stored procedures)
• Technical expertise in data modeling
• Experience with both large-scale batch and real-time data pipelines
• Experience with large scale data analytics, replicated data storage, and operating services on prem or in the cloud
• Prior experience in development of or implementation of big data architectures
• Experience creating and managing integration pipelines from scratch
• Experience with large datasets with missing and noisy data
• Excellent communication and leadership skills
• Must have experience with designing relational SQL and NoSQL databases
• Experience with assimilating data through varied sources is valued
• Overall passion and curiosity for technology, ability to research new technologies
• Penchant for identifying and clarifying ambiguous requirements
• Must be self-motivated and detail-oriented
• A “can do” attitude with strong work ethic and a history of producing quality applications
• Experience with iterative development and agile methodologies

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